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Maurizio PorfiriView profile

Professor

• Complex Systems
• Urban Science
• Collective Behavior
• +4 more

Maurizio Porfiri is an Institute Professor at New York University Tandon School of Engineering, holding tenured appointments in Mechanical and Aerospace Engineering, Biomedical Engineering, and Civil and Urban Engineering. He also directs the Center for Urban Science and Progress (CUSP). His academic career began at Virginia Tech as a Post-Doctoral Associate (2005-2006) before joining Tandon in 2006 as an Assistant Professor. Porfiri earned dual doctorates in Theoretical and Applied Mechanics from Sapienza University of Rome and the University of Toulon (2005), alongside degrees from Virginia Tech and Sapienza’s Electrical Engineering program. Education: Laurea (B.Sc./M.Sc.) in Electrical Engineering, Sapienza University of Rome (2001) Ph.D. in Theoretical and Applied Mechanics, Sapienza University of Rome and University of Toulon (2005) M.Sc. and Ph.D. in Engineering Mechanics, Virginia Tech (2000, 2006) Research Interests: Porfiri’s work spans complex systems, urban science, robotics, and public health. His lab investigates collective behavior in biological systems, network science applications, and biomimetic robotics. Notable projects include urban scaling laws for public health trends, assistive technologies for visually impaired navigation, and ant colony energy regulation mechanisms. Publications & Recognition: With ~400 publications, his work appears in Nature , Nature Human Behaviour , and Physical Review Letters . He is an ASME and IEEE Fellow, recipient of the NSF CAREER Award, and featured in Popular Science’s “Brilliant 10” (2010). His research has been highlighted in CNN, NPR, and other media outlets. Awards & Grants: $5M NSF Convergence Accelerator grant (2023) for assistive navigation tech $3M NSF grant (2024) for ant colony energy studies National Academy of Engineering Frontiers of Engineering Symposium invitations (2011, 2014) Labs & Teams: Director of CUSP and founder of the Dynamical Systems Laboratory, Porfiri collaborates across disciplines to address urban challenges, from gun violence analytics to sustainable city design. His work bridges engineering, biology, and policy to create scalable solutions for societal issues.

Peter HeathcoteView profile

Professor

• Photosynthetic Reaction Centres
• Protein Cofactor Interactions
• Respiratory Chain Complexes
• +2 more

Peter Heathcote is Professor of Biochemistry and Co-Director of the Nanchang Joint Programme at Queen Mary University of London's School of Biological and Behavioural Sciences. His research focuses on biochemical mechanisms in photosynthesis and enzymatic systems, with expertise in spectroscopic analysis of protein-cofactor interactions. Research Interests: Heathcote investigates electron transfer pathways in photosynthetic reaction centres (Type I), respiratory complexes, and tetrapyrrole biosynthesis enzymes. His work employs advanced spectroscopic techniques to study redox cofactors and energy transfer in biological systems. Publication Trends: Recent publications bifurcate into two domains: (1) Continued biophysics research on photoexcitation and spectroscopy techniques, and (2) Clinical prostate cancer studies addressing diagnostic imaging (PSMA PET/MRI), surgical outcomes (robotic prostatectomy), and quality-of-life metrics. This reflects interdisciplinary engagement with medical applications. Awards & Advising: No awards or supervised students are documented in available materials.

Jorge PardoView profile

Research Fellow

• Human Computer Interaction
• Machine Learning
• Physiological Data Analysis
• +3 more

Dr. Jorge Pardo is a Postdoctoral Research Fellow at the Centre for Accident Research & Road Safety – Queensland (CARRS-Q), Queensland University of Technology (QUT). He holds a BEng in Mechatronics Engineering and an MScEng in Mechanical Engineering from the National Autonomous University of Mexico (UNAM), and a PhD in an unspecified field. His research focuses on human-computer interaction, machine learning, physiological data analysis, computer vision, robotics, and transportation safety. He contributes to the Chair in Empathic Machines project, developing intention-aware cooperative driving models for automated vehicles. Educations: BEng (Mechatronics Engineering), National Autonomous University of Mexico MScEng (Mechanical Engineering), National Autonomous University of Mexico PhD Research Projects: Chair in Empathic Machines: Intention-aware cooperative driving behaviour model for automated vehicles Collaborations: Academic: Universidad Nacional Autónoma de México, Technical University of Munich, University of Leeds, Loughborough University, Cornell Tech Industry: Autoliv, Ford Mexico, Continental, Seeing Machines His work integrates academic rigor and industry insights to advance road safety and human-centered intelligent transport systems through data acquisition, processing, visualization, and machine learning. Awards: 2019 Australian Government RTP Stipend & Fees Offset (International) 2016-2018 CONACYT National Postgraduate Scholarship (Mexico)

• Educational Technology
• Computational Neuroscience
• Behavioural Ecology
• +2 more

Bernard Evans is a Lecturer at the University of Adelaide's School of Computer and Mathematical Sciences, within the Faculty of Sciences, Engineering and Technology. He holds a Bachelor of Engineering (Computer Systems), a Bachelor of Health Sciences, and a PhD from the University of Adelaide. His research focuses on computational neuroscience, particularly the electrophysiological and computational modeling of dragonfly visual neurons, and applies insights from insect neurobiology to develop low-power deep learning systems for surveillance and computer vision tasks. Research Interests: Educational Technology, Computational Neuroscience, Behavioral Ecology, Computer Vision, and Explainability in Neural Networks. His publications explore the intersection of neuroscience and engineering, including dragonfly visual systems' adaptation mechanisms, target detection in cluttered environments, and bio-inspired algorithms for autonomous systems. His work bridges electrophysiological studies with hardware implementation on FPGA platforms for real-world applications. Eligible to supervise Masters and PhD candidates in Computer Science and related fields.

• Artificial Intelligence
• Argumentative Dialogue
• Behaviour Change
• +6 more

Dr. Simon Wells is a Lecturer at the School of Computing Engineering and the Built Environment, Edinburgh Napier University. His research bridges Artificial Intelligence, Argumentative Dialogue, and Human-Computer Interaction, focusing on formal models of reasoning and communication. He has developed computational systems enabling argumentation between humans and machines, applied across scientific, educational, and policy domains. University of Dundee (2011) University of Aberdeen (2012) Edinburgh Napier University (2014–present) His work integrates Behaviour Change and Interaction Design through gamification and persuasive technology, particularly in sustainable transport systems. Projects like SUPERHUB and West of Scotland Herring Hunt highlight his interdisciplinary approach, combining AI with environmental and cultural studies. Recent publications analyze the synergy between formal dialogue models and Large Language Models, offering insights into argument visualization, socio-technical trust, and segmentation-based behavior interventions. Key research areas include argumentation theory, evolutionary robotics, and digital ethnography. PhD Supervisor: Yagmur Yigit, Dana Khartabil Co-Supervisor: Thomas Farrenkopf Funded by the William Grant Foundation and Natural Environment Research Council, his projects span from citizen-science tools in Brazil to historical socio-economic studies in Scotland. Collaborations include institutions like the Open Microscopy Environment and SICSA.

Roland GoeckeView profile

Professor

• Affective Computing
• Computational Behaviour Analysis
• Social Signal Processing
• +6 more

Professor Roland Goecke is a leading academic in affective computing and head of the School of Systems & Computing at UNSW Canberra. He holds a PhD in Computer Science from the Australian National University (2004) and has extensive experience in roles such as Professor at the University of Canberra and Senior Research Scientist at Seeing Machines. His research focuses on algorithms for human-computer interaction, mental health applications, and multimodal signal processing. Key research interests include affective computing, computational behavior analysis, and AI-driven solutions for health and well-being. He has secured funding from ARC, NHMRC, and US NSF, and serves on editorial boards of IEEE Transactions on Affective Computing and Pattern Recognition . His work spans mental health, video/image analysis, and assistive robotics. Prof. Goecke is an experienced research supervisor, guiding students in areas like human-robot interaction and computer vision. He is a senior member of IEEE and actively contributes to the academic community through conferences and mentorship. Current affiliations include UNSW’s Canberra campus, where he leads interdisciplinary research initiatives. His lab focuses on translating computational methods into real-world applications for health monitoring and human performance analysis.

Warren MansellView profile

Professor

• Perceptual Control Theory
• Transdiagnostic Interventions
• Mental Health
• +4 more

Warren Mansell is a Professor of Mental Health at the School of Population Health, Curtin University, Perth, Australia. He previously held roles including Reader in Clinical Psychology at the University of Manchester. His research focuses on transdiagnostic interventions for mental health problems using Method of Levels Therapy and Perceptual Control Theory (PCT), with applied work in robotics, dementia communication, and consciousness studies. Mansell advocates for PCT as a framework to address limitations in traditional behavioral science methodologies. Education: PhD from the University of Oxford and a Doctorate in Clinical Psychology from King's College London. He has authored over 210 research outputs and contributed to influential works like Rethinking Secondary Mental Healthcare: A Perceptual Control Theory Perspective . Research interests include PCT's applications in clinical practice, transdiagnostic approaches to mental health, and interdisciplinary robotics projects. He has led projects like the Centre for Robotics and Artificial Intelligence and collaborated with institutions globally. Awards include the University of Manchester Distinguished Achievement Award for Teaching (2008). His work spans editorial roles at journals such as Behavioural and Cognitive Psychotherapy and contributions to media discussions on mental health. Professional memberships include the British Psychological Society and roles in international conferences like the World Congress of Cognitive Therapy. His research emphasizes practical interventions and challenges traditional IV-DV research paradigms, advocating for controlled variable testing.

• Neurotechnology
• Neurosciences
• Cognitive Sciences
• +5 more

Professor Simon Schultz is a Professor of Neurotechnology and Director of the Centre for Neurotechnology at Imperial College London’s Faculty of Engineering. He holds affiliate faculty status at the Sainsbury-Wellcome Centre for Neural Circuits and Behaviour at UCL. His research focuses on understanding memory mechanisms in the brain and developing neurotechnologies to treat memory disorders. He leads a lab specializing in neurotechnology development, experimental neuroscience, and computational modeling. Education includes a BSc/B.E. (Hons) from Monash University, ME(Res) from the University of Sydney, and a DPhil in computational neuroscience from Oxford University. Postdoctoral work included experimental neuroscience at NYU and UCL before joining Imperial in 2004. Research interests span neural coding, Alzheimer’s Disease modeling, and neurotechnology innovation. His lab develops advanced imaging techniques (e.g., multi-photon microscopy) and robotic electrophysiology systems. Recent work explores how amyloid pathology disrupts neural coding in Alzheimer’s models and how spatial memory circuits malfunction during disease progression. Awards and recognitions are not explicitly listed in the provided texts, though his leadership roles and prolific publication record suggest significant contributions to the field. Labs/Teams: Neural Coding and Neurodegenerative Disease Laboratory Centre for Neurotechnology (Director) Physics of Life research group Imperial College London’s Artificial Intelligence Network Future work emphasizes co-creating next-generation neuromodulation therapies (e.g., NEUROMOD+ initiative) and advancing robotic automation in neuroscience experiments to improve data acquisition speed and precision.

Samuel BennetView profile

Tutor

• Hormonal and behavioural analysis for animal welfare
• AI in healthcare
• Human-robot interactions in healthcare
• +4 more

Samuel Bennet is a part-time academic at the University of Glasgow, affiliated with the School of Education. He serves as a Tutor, integrating his extensive experience in cognitive, biological, and computational frameworks into applied teaching methods. His expertise spans neuroimaging (EEG, NIRS), eye tracking, neurostimulation (tDCS, TMS), and perception technologies (VR, AR). Research Interests: Hormonal and behavioural analysis for animal welfare AI applications in healthcare Human-robot interactions in healthcare Active learning models in education Prosocial and antisocial behavior determinants Behavioral influences on neurodevelopment, neurodegeneration, and perception Publications: His 2025 work on identity-based bullying examines social inequality and diversity trends in educational settings. Teaching: He supervises MSc Psychology Conversion Course dissertations and teaches human development and cognition modules. Grants: Received funding from the University of Stirling Vice Chancellor Fund for immersive teaching techniques in natural sciences.

• Supply Chain Management
• Sustainable Supply Chain Management
• Circular Economy
• +5 more

Richard L. Gruner serves as Associate Professor in Marketing at the UWA Business School, The University of Western Australia, and Adjunct Associate Professor at Curtin University. Holding a PhD from Melbourne and BA/MA from Cardiff, he actively contributes to research, teaching MBA/undergraduate courses, and executive programs while securing over $800,000 in research funding and publishing in top-tier journals. His academic foundation includes undergraduate and master's degrees from Cardiff University followed by a PhD at the University of Melbourne. Prior to academia, he built industry expertise as Marketing Manager at Hubert Burda Media in Germany (2004-2008). Dr. Gruner's research centers on sustainable supply chain management—particularly circular economy applications and analogical reasoning—and digital marketing with focus on consumer cognitive load. His work investigates simplification strategies in complex business environments and information systems adoption, directly contributing to UN Sustainable Development Goal 12 (Responsible Consumption and Production). Analysis of his recent publications reveals strong interdisciplinary integration of marketing, information systems, and sustainability. Key trends include AI/robotics applications in retail customer service, social media's role in political polarization and misinformation, and circular economy implementation across industries—frequently employing advanced methodologies like structural equation modeling and fuzzy-set qualitative comparative analysis. His research excellence is recognized through multiple awards: Best Theme Paper for Addressing Modern Slavery Risks (ICCPMCE, 2024) Best Reviewer Award (International Journal of Management Reviews, 2023) Top 10 Most Social Media Attention (Journal of Information Management, 2022) Best Paper in Track at ANZMAC Conference (Digital Marketing, 2022) Best Paper Award for Circular Economy in Buildings journal (2021) Dr. Gruner has secured significant competitive funding including two i-Move CRC grants ($300,000 each) for circular economy mapping in Western Australia, a Woodside Energy industry grant ($100,817), and multiple UWA internal grants. He currently supervises HDR students while serving on editorial boards of Industrial Marketing Management, International Journal of Operations and Production Management, and International Journal of Management Reviews. As co-founder of consultancy 29Blinco and certified LEGO Serious Play facilitator, he actively partners with clients across Australia, Germany, and Italy to drive business innovation.

Emmanuele TidoniView profile

Lecturer

• Social Neuroscience
• Social Robotics
• Cognitive Neuroscience
• +3 more

Dr. Emmanuele Tidoni is a Lecturer at the University of Leeds, where he leads the Human Technology Laboratory (https://www.hutechlab.com). Previously, he held positions at the University of Hull (2019–2023). His research focuses on the cognitive and neural mechanisms underlying the perception of social agents such as humans and robots. He holds a BA and MSc from the University of Bologna and a PhD from Sapienza University of Rome. Education: Bachelor’s Degree: University of Bologna Master’s Degree: University of Bologna PhD: Sapienza University of Rome Research Interests: Neural mechanisms of social perception Human-robot interaction Action observation and prediction Embodied cognition His work integrates experimental psychology, neuroscience, and robotics to explore how humans perceive and interact with artificial agents. Key Research Themes: Role of sensorimotor networks in social cognition Impact of body form and gaze cues on action prediction Neural correlates of agency and error processing Labs & Groups: Principal Investigator: Human Technology Laboratory (HUTech Lab) Affiliated with the Brain and Behaviour Laboratory and the Perception, Action, Cognition group

Eric SchniterView profile

Academic

• Evolutionary Anthropology
• Behavioral Economics
• Aging and Life History Theory
• +3 more

Dr. Eric Schniter is a Visiting Professor and Research Faculty at Chapman University, affiliated with the Economic Science Institute, Crean College of Health and Behavioral Sciences (Psychology), and the George L. Argyros College of Business and Economics. He holds a Ph.D. in Anthropology from the University of California, Santa Barbara, and a B.A./M.S. from the University of Oregon. His research bridges evolutionary anthropology and behavioral economics, focusing on skill/knowledge development across the lifespan, relationship maintenance (communication, trust, cooperation), and emotional regulation of behavior. Recent work examines cultural transmission among Tsimane Amerindians, human-robot trust dynamics, and social determinants of depression in small-scale societies. Scientific contributions include publications in Nature Human Behaviour , Evolution and Human Behavior , and Current Anthropology . Collaborations span multiple institutions, with datasets archived in Zenodo and Mendeley. His experimental studies explore trust games, emotional calibration, and age-related behavioral shifts.

Saeid NahavandiView profile

Professor

• Artificial Intelligence
• Robotics and Haptics
• Autonomous Systems
• +4 more

Roles and Affiliations: Distinguished Professor Saeid Nahavandi is the inaugural Associate Deputy Vice-Chancellor (Research) and Chief of Defence Innovation at Swinburne University of Technology. He leads defence innovation and research strategy, with a focus on autonomous systems, robotics, and AI. Previously, he served as Pro Vice-Chancellor (Defence Technologies) at Deakin University and founded its Institute for Intelligent Systems Research and Innovation. Research Focus: Specializes in robotics, haptics, autonomous systems, AI, and advanced modelling/simulation. His work bridges academia and industry, with collaborations spanning Airbus, Boeing, NASA, and NATO. He has secured over $150M in funding and established three tech startups. Key research areas include motion simulation, teleoperation systems, and defence technologies. Articles Overview: Over 1,300 publications span AI, robotics, and control engineering. Recent work emphasizes autonomous navigation reviews, uncertainty-aware AI, and motion cueing algorithms. His research addresses real-world applications like driver distraction detection and robotic ultrasound. Awards and Recognition: Recipient of the 2022 Clunies Ross Entrepreneur of the Year Award, 2021 Australian Space Awards Researcher of the Year, and multiple engineering excellence accolades. A Fellow of ATSE, IEEE, and other leading institutions. Grants & Industry Impact: Led ARC Training Centres for automated vehicles and energy storage. Notable grants include a $15M ARC Training Centre for Automated Vehicles in Rural/Remote Regions (2024–2029). Collaborates globally on defence, aerospace, and smart transportation projects. Labs & Teams: Heads Swinburne’s Defence Innovation Group and collaborates with Harvard University (as an Associate) and the University of Windsor (adjunct professor). Advises governments and industries on technology strategy and innovation.

• Strategy, management and organisational behaviour
• Transportation, logistics and supply chains
• Information systems
• +18 more

Roger Maull is a Professor of Management Systems at the University of Exeter’s Business School and serves as the Academic Director of the Initiative for the Digital Economy at Exeter (INDEX), based in London’s South Bank. His research bridges digital technologies, operational systems, and sustainability, with a focus on the intersection of the Digital Economy and Circular Economy. BA in Economics, MSc in Management Information Systems, PhD (1987) Roger’s work explores how digital systems transform business models, supply chains, and societal structures. Key themes include data sharing ethics, IoT applications in food systems, and the role of systems theory in sustainable innovation. He has pioneered the HAT platform for personal data management and co-founded the startup Dataswyft.io. His publications span 15 recent years, emphasizing digital transformation, circular supply chains, and ethical frameworks. Notable projects include the Food Data Trust and the Internet of Food Things, funded by grants exceeding £40m from UKRI agencies. Current initiatives involve the DIGIT EPSRC project and the Defence Data Research Centre (DDRC.uk).

Ahmed ShehataView profile

Assistant Professor

• Rehabilitation systems and robotics
• Human-machine interaction and interfaces
• Prosthesis control and sensory feedback
• +4 more

Ahmed Shehata is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of New Brunswick (UNB), Fredericton campus. He holds the Canada Research Chair in Rehabilitation Engineering and serves as an Adjunct Professor at the University of Alberta. Research Interests: Dr. Shehata's work focuses on rehabilitation systems and robotics, human-machine interaction, prosthesis control with sensory feedback, and artificial intelligence applications in assistive technologies. Additional interests include virtual/mixed reality for rehabilitation, wearable robotics, and computational methods for behavior modeling. Scientific Awards: Canada Research Chair in Rehabilitation Engineering Contact: ahmed.shehata@unb.ca